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Sentiment Analysis: Predicting Yelp Scores

2022/01/20 by Bhanu Prakash Reddy Guda, Guda, Bhanu Prakash Reddy, Mashrin Srivastava +3
Agricultural and Biological Sciences · Computer Science · Social Sciences · #Computation and Language (cs.CL) #Culinary Culture and Tourism #Digital Marketing and Social Media #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sentiment Analysis and Opinion Mining

paper · pdf · doi:10.48550/arxiv.2201.07999

openalex publication_date 2022/01/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this work, we predict the sentiment of restaurant reviews based on a subset of the Yelp Open Dataset. We utilize the meta features and text available in the dataset and evaluate several machine learning and state-of-the-art deep learning approaches for the prediction task. Through several qualitative experiments, we show the success of the deep models with attention mechanism in learning a balanced model for reviews across different restaurants. Finally, we propose a novel Multi-tasked joint BERT model that improves the overall classification performance.

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